Machine learning utilising spectral derivative data improves cellular health classification through hyperspectral infra-red spectroscopy-Reference-Cited by-同舟云学术

Machine learning utilising spectral derivative data improves cellular health classification through hyperspectral infra-red spectroscopy

Published:2020-09-15 Issue:9 Volume:15 Page:e0238647
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Mellors Ben O. L.^ORCID,Spear Abigail M.,Howle Christopher R.,Curtis Kelly,Macildowie Sara,Dehghani Hamid

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference44 articles.

1. Medical Infrared Imaging

2. Harding J, Wertheim D, Williams R, Melhuish J, Banerjee D, Harding K, editors. Infrared imaging in diabetic foot ulceration. Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol 20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat No 98CH36286); 1998: IEEE.

3. Noninvasive determination of burn depth in children by digital infrared thermal imaging;JD Medina-Preciado,2012

4. Shortwave-infrared (SWIR) emitters for biological imaging: a review of challenges and opportunities;E Thimsen;Nanophotonics,2017

5. Applications of Infrared and Raman Microspectroscopy of Cells and Tissue in Medical Diagnostics: Present Status and Future Promises;M Diem;J Spectroscopy: An International Journal,2012

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy;Food Bioscience;2024-10

2. Enhanced 3-D asynchronous correlation data preprocessing method for Raman spectroscopy of Chinese handmade paper;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-04

3. Removal of environmental influences for estimating soil texture fractions based on ZY1 satellite hyperspectral images;CATENA;2024-03

4. Quantitative inversion model of protein and fat content in milk based on hyperspectral techniques;International Dairy Journal;2022-11

5. Comparison of preprocessing techniques to reduce nontissue-related variations in hyperspectral reflectance imaging;Journal of Biomedical Optics;2022-10-07